ANALYSIS OF THE POWER OF WIFI SIGNALS ON THE INFORMATICS ENGINEERING LABORATORY OF MUSAMUS UNIVERSITY USING INSIDDER

Transcription

1 International Journal of Mechanical Engineering and Technology (IJMET) Volume 9, Issue 13, December 2018, pp , Article ID: IJMET_09_13_029 Available online at ISSN Print: and ISSN Online: IAEME Publication Scopus Indexed ANALYSIS OF THE POWER OF WIFI SIGNALS ON THE INFORMATICS ENGINEERING LABORATORY OF MUSAMUS UNIVERSITY USING INSIDDER Teddy Istanto and Fransiskus Xaverius Manggau Informatics Engineering Department, Faculty of Engineering, Universitas Musamus, Merauke, Indonesia ABSTRACT Information technology especially computer networks is currently growing very rapidly along with the needs of the community for services that utilize computer networks. Networks are everywhere in almost every society and economy. Wireless networks allow each user to be able to communicate, access applications, browse, e- mail and information from the desired place without having to be obstructed by cables and without worrying about losing connection with WiFi as long as it is within the service area. Based on data from the Indonesian Internet Service Providers Association in 2017 internet users in Indonesia reached million, an increase from 2016 as many as million users out of the total population of 262 million people. In accessing internet services, there is often a place or area that has overlapping signals, while in other areas there is no connection at all (area blank spot). Therefore, it is necessary to analyze the strength of network performance directly and display the results of WiFi signal strength analysis in the Informatics Engineering Laboratory building, Musamus University. Analysis is carried out on 2 hotspot networks found in the Informatics Engineering Laboratory so that all users in the area can enjoy internet services without any interference and do not lose connection. Key words: Wireless, WiFi, Internet, Musamus University, Informatics Engineering Laboratory. Cite this Article: Teddy Istanto and Fransiskus Xaverius Manggau, Analysis of the Power of Wifi Signals on the Informatics Engineering Laboratory of Musamus University Using Insidder, International Journal of Mechanical Engineering and Technology 9(13), 2018, pp INTRODUCTION Information technology especially computer networks is currently developing very rapidly along with the needs of the community for services that utilize computer networks (Febriyanti editor@iaeme.com

2 Analysis of the Power of Wifi Signals on the Informatics Engineering Laboratory of Musamus University Using Insidder et al., 2017). Networks are everywhere in almost every society and economy (Djawadi et al., 2018). Currently hearing the term "Wireless or WiFi" has become commonplace. Wireless or network without using a cable is a media link between devices or devices in a network. Wireless networks allow each user to be able to communicate, access applications, browse, e- mail and information from the desired place without having to be obstructed by cables and without worrying about losing connection with WiFi as long as it is within the service area. WiFi technology offers a variety of forms of convenience, and high flexibility in communication (Titahningsih et al., 2018). The use of wireless technology at this time is not only in offices, campuses, airports and even now it has been found in cafes, and some public transportation. Wireless LAN (Local Area Network) or abbreviated as WLAN is able to provide high speed access of up to 54 Mbps in a range of up to 100 meters from an Access Point (AP) depending on the building structure or barrier that exists between the AP and the user. Based on data from the Indonesian Internet Service Providers Association (Internet, 2017) in 2017 internet users in Indonesia reached million, an increase from 2016 as many as million users of the total population of Indonesia of 262 million. The high public demand for Wlan is so rapid and includes hardware and software that continues to grow at any time. Based on data from the APJII survey in 2017 the devices used to access the internet are 4.49% laptops or personal computers, 44.16% personal smartphones or tablets and 12.07% other devices. In accessing internet services, there is often a place or area that has signals that are overlapping, meanwhile in other areas there is no connection at all (area blank spot). Therefore, it is necessary to analyze the strength of network performance directly and display the results of WiFi signal strength analysis in the Informatics Engineering Laboratory building, Musamus University. The analysis was carried out on 2 hotspot networks found in the informatics engineering laboratory so that all users in the area could enjoy internet services without any interference and not lose connection. 2. METHODOLOGY 2.1. Computer network Computer network is a collection of two or more computers that are interconnected with each other to communicate data using communication protocols through communication media (wired or wireless), so that these computers can share information, data, programs, and use of devices hard together (Perikanan and Kendari, 2018) Wireless network (WiFi) A WiFi network is a set of standards used for wireless local area network (WLAN) communication (Hartono and Purnomo, 2011). which is based on the IEEE specification (Rante et al., undated). WiFi networks use radio frequencies to send information to all networks (Kinerja et al., 2016). Initially WiFi was used for the use of wireless devices and local area networks (LANs), but currently more widely used to access the Internet. The wireless LAN specification itself is divided into 6 parts, namely: a, b, g and n, ac, ad (Sharma et al., 2013) WiFi Network Access Method WLAN technology requires hardware access points for a wider range of areas. Every computer on the network is connected with radio waves. In WiFi technology topology is divided into 2 parts, namely adhoc and infrastructure editor@iaeme.com

3 Teddy Istanto and Fransiskus Xaverius Manggau 2.4. Adhoc The adhoc system is a peer to peer network system, where one PC is connected to one other PC by connecting to each other based on the name of the SSID (Service Set IDentifier) (Hartono and Purnomo, 2011). The adhoc system does not depend on existing infrastructure, such as routers in wired networks or access points on wireless networks. In an Ad hoc network, each node is assigned to route data to other nodes, so determining which nodes send data is created dynamically based on the connectivity of the network itself Infrastructure System Is a collection of interconnected computer systems, connected by various kinds of parts of a telecommunications architecture. Infrastructure access point serves to serve the main communication on wireless networks. The access point transmits data on a PC with a certain range in an area. Adding and setting the location of the access point can expand the range of the WLAN Wireless LAN Network Infrastructure In building a WIFI network there are four main components, among others (Kadir and Tone, 2015): Access Point Wireless Lan Device Mobile/Smarphone/laptop/Pc Ethernet lan 2.7. Insidder Insidder is a software made by MetaGeek that is used to scan and capture networks with SSID main parameters on a WiFi network, measure signal strength over time, and determine their security settings (including whether protected by a password or not) Through InSSIDer, we can see network traffic which is in the area around us (Andregate, 2013). InSSIDer will analyze the closest wireless network data and display it directly. The data that appears includes MAC Adddress, ESSID, channel, type of security (WEP, WAP) and so on. The strength of any network detected in the network accessed by a computer can be seen through the graph displayed. WiFi signal strength is very influential by the distance the further the access point to the client, the smaller the signal or the weaker the signal received by the client. WiFi signal is very influential on the quality of service, the WiFi signal quality is divided into several classifications. InSSIDer divides the signal strength classification (in dbm) as in Table 1 (Rante et al., undated). Table 1 Color of Signal Strength Excellent Good Fair Poor Very Poor >-51~-61-63~-73-75~-85-87~ and less editor@iaeme.com

4 Analysis of the Power of Wifi Signals on the Informatics Engineering Laboratory of Musamus University Using Insidder 2.8. Location of Data Collection The data used in this study is at the Informatics Engineering Laboratory, Musamus University. At the Laboratory of Informatics Engineering there are 7 rooms, namely computer laboratory 1, computer laboratory 2, network laboratory, lecturer room, department room and room, Lab and maintenance headroom, HMJ. Of the 7 rooms, the access point used as a Laboratory Hotspot is in the headroom of the lab and maintenance. Access points used are 2 access points, the first access point is used for the public, namely for students and lecturers and Laboratory staff, while the second access point is specifically for lecturers, Head of Laboratory and Laboratory staff. Other useful methods were provided in previous researchers (Latuheru and Sahupala, 2018; Maulany et al., 2018; Waremra and Bahri, 2018). 3. RESULTS AND DISCUSSION Data collection in this study was conducted at the Informatics Engineering Laboratory, during working hours so that the number of users of laboratory hotspots was quite large. In taking data used two hotspots namely IT Lab and IT Laboratory Hotspot. In the process of data retrieval carried out in each room, namely as follows: 3.1. Department room Place : Room of the Informatics Engineering Department Place Signal strength ± 17 Lab Ti Good Department room Lecturer Room Place : Room of the Informatics Engineering Department Place Signal strength ± 17 Lab Ti Good Lecturer room Informatics Laboratory 1 Place : Informatics Laboratory 1 ± 15 Lab Ti Fair Informatics Laboratory editor@iaeme.com

5 Teddy Istanto and Fransiskus Xaverius Manggau 3.4. Informatics Laboratory 2 Place : Informatics Laboratory 2 ± 12 Lab Ti Good Informatics Laboratory Computer Network Laboratory Place : Computer Network Laboratory ± 17 Lab Ti Fair Computer Network Laboratory HMJ room Place : HMJ room Place Signal strength ± 17 Lab Ti Good HMJ room Test Result Data In testing the signal strength in each room using Insidder software, Insider is a tool that serves to scan and capture networks with the main SSID parameters in WiFi networks, measure signal strength over time, and see network traffic in the area around us that can captured by a standard wireless device. From the results of trials on each room obtained several rooms with Poor and Fair signal s and overlapping, good signal s in some rooms were obtained at the TI Hotspot Lab, while in the IT Laboratory Hotspots there was 1 room, namely signal Poor with the majors. Testing the delivery of data packets on the network is done by pinging each IP address of each hotspot. Testing downloads is done using the default download manager Mozilla Firefox. Testing of WiFi Hotspot Signal IT Lab and Laboratory Hotspot Ti Against Distance Without Barriers in Table 1. Testing of WiFi Hotspot Signal IT Lab and IT Laboratory Hotspot Against Distance with Barriers in Table editor@iaeme.com

6 Analysis of the Power of Wifi Signals on the Informatics Engineering Laboratory of Musamus University Using Insidder Table 1. Data from trial results of Hotspot IT Lab and Laboratory Hotspot without barrier Distance (Meter) Hotspot name Signal ± 1 Hotspot Lab TI Exellent Maintenance room -30 ± 5 Hotspot Lab TI Exellent Head laboratory -44 room ± 1 Hotspot Exellent Head laboratory -45 Laboratorium Ti room ± 5 Hotspot Laboratorium Ti Exellent Maintenance room -55 Table 2. Data from the trial results of Hotspot IT Lab and Laboratory Hotspot with barriers and distances Distance (Meter) Hotspot name Signal ± 17 Lab Ti Good Department Room -72 ± 17 Laboratory Ti poor Department Room -95 ± 18 Lab Ti Good Lecturer Room -63 ± 18 Laboratory Ti Good Lecturer Room -67 ± 15 Lab Ti Fair Informatics -75 Laboratory 1 ± 15 Laboratory Ti Fair Informatics -76 Laboratory 1 ± 12 Lab Ti Good Informatics -72 Laboratory 2 ± 12 Laboratory Ti Fair Informatics -76 Laboratory 2 ± 17 Lab Ti Fair Computer Network -77 Laboratory ± 17 Laboratory Ti Good Computer Network -73 Laboratory ± 17 Lab Ti Good HMJ room -70 ± 17 Laboratory Ti Good HMJ room CONCLUSIONS Based on the research and the results of the tests performed, the following conclusions are obtained: 1. Selection of the right place or position of the access point as a Hotspot can divide the signal evenly throughout the room and increase the speed of internet access in the Informatics Engineering Laboratory so that no room does not get a signal. 2. On Hotspot Lab IT bandwidth management needs to be made so that every user connected to the hotspot gets the same access rights. 3. In some rooms a poor and fair signal is obtained, due to the distance between the room and the access point that is far away and blocked by the wall so that the signal obtained is poor and overlapping occurs which can cause interference to the network editor@iaeme.com

7 Teddy Istanto and Fransiskus Xaverius Manggau REFERENCES [1] A. Andregate, (2013). Monitoring Sinyal WLAN Menggunakan inssider, [2] A. Kadir and K. Tone, (2015). Analisa Kerja Access Point Jaringan Wireles Pada, vol. 1, pp [3] A. Kinerja et al., (2016). WIRELESS LOCAL AREA NETWORK ( WLAN ), vol. 4, no. 1, pp [4] A. P. J. Internet, (2017). Penetrasi & Perilaku Pengguna Internet Indonesia, Apjii, vol. 2018, no. 31 August 2018, p. Hasil Survey. [5] B. M. Djawadi, A. Endres, B. Hoyer, and S. Recker, (2018). Network formation and disruption - An experiment are equilibrium networks too complex?, J. Econ. Behav. Organ.. [6] E. Febriyanti, S. Raharjo, and M. Sholeh, (2017) Perbandingan Manajemen Bandwidth Menggunakan Metode FIFO (First In First Out) dan PCQ (Peer Connection Queue) Pada Router Mikrotik (Studi Kasus Pada Laboratorium Komputer Jaringan, Institut Sains & Teknologi AKPRIND Yogyakarta), J. JARKOM, vol. 5, no. 2, pp [7] H. Perikanan and K. I. Kendari, (2018). FIRST OUT DAN PER CONNECTION QUEUE UNTUK, vol. 4, no. 1, pp [8] J. C. Rante, M. Alexander, R. Patras, A. Kekuatan, and A. K. S. Wi-fi, Analisis kekuatan sinyal wi-fi menggunakan inssider, pp [9] Latuheru, RD and Sahupala, P. (2018). Design of Methane Gas Capture Installation from Garbage Waste, International Journal of Mechanical Engineering and Technology, 9(10), pp [10] Maulany, GJ; Manggau, FX; Jayadi, Waremra, RS and Fenanlampir, CA. (2018). Radiation Detection of Alfa, Beta, and Gamma Rays with Geiger Muller Detector, International Journal of Mechanical Engineering and Technology, 9(11), 2018, pp [11] P. Sharma, R. K. Chaurasiya, and A. Saxena, (2013). Comparison analysis between IEEE a/b/g/n, Int. J. Sci. Eng. Res., vol. 4, no. 5, pp [12] P. Titahningsih, R. Primananda, and S. R. Akbar, (2018) Perancangan Penempatan Access Point untuk Jaringan WiFi Pada Kereta Api Penumpang, Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 5, pp [13] R. Hartono and A. Purnomo, (2011). Wireless Network , D3 Ti Fmipa Uns. [14] Waremra, RS and Bahri, S. (2018). Identification of Light Spectrum, Bias Index and Wavelength in Hydrogen Lights and Helium Lights Using a Spectrometer, International Journal of Mechanical Engineering and Technology 9(10), pp [15] Djamali RA, Petaubun, P. (2018). Design of agroindustry development strategy based on fisheries cache of Merauke regency. IOP Conference Series: Earth and Environmental Science editor@iaeme.com